Senior Software Engineer

Who you are

• 6+ years of software engineering experience, with meaningful recent time building production LLM / ML features
• Strong hands-on coding skills in Python; comfortable across the full stack when the feature demands it
• Seasoned at system design for AI systems: retrieval, orchestration, caching, evaluation, cost and latency tradeoffs
• Deep, hands-on command of modern AI coding tools — you're a strong follower of the frontier and apply new techniques quickly
• Good mentorship instincts; generous with what you learn
• Rigorous about evaluation and safety; allergic to vibes-only launches
• Strong communicator; comfortable explaining model behavior to non-technical stakeholders
• Low-ego, curious, humble
• Experience with healthcare, clinical NLP, or regulated AI deployments
• Experience building agentic systems or production RAG at scale

What the job involves

• Design, build, and ship LLM-powered features end-to-end: prompt design, retrieval, tool use, agents, evaluation, and production operations
• Build the evaluation harnesses and feedback loops that let us ship AI features responsibly
• Integrate AI capabilities deeply into patient, clinician, and operational workflows
• Partner with clinical, product, and safety stakeholders to define what "good" looks like
• Contribute to our internal AI-for-engineering practices and tooling
• Stay close to the research and ecosystem; bring the best of it back to the team

The application process

• Recruiter Screen (30 min)
• Hiring Manager Screen (45 min)
• Live Technical Assessment (3 sessions: 150 min)
• On-Site Interview and Lunch (4 sessions: 150 min)

Benefits

• Medical, Dental, and Vision
• 401K
• Flexible Paid Time Off
• Parental Leave
• New Hire Equipment Stipend
• Monthly Remote Work Stipend